arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 1906.08299physics.flu-dyn
收藏

通过不同Reynolds numbers的粒子云的激波诱导流的粒子分辨模拟

Particle-resolved simulations of shock-induced flow through particle clouds at different Reynolds numbers

Andreas Nygård Osnes, Magnus Vartdal, Marianne Gjestvold Omang, Bjørn Anders Pettersson Reif

摘要:

本文利用粒子分辨大涡模拟的整体平均结果,研究了体积分数为10%时,激波诱导的颗粒层绕流与雷诺数的关系。利用大涡模拟研究这一问题的优点是,它们捕捉到了由颗粒表面无滑移条件引起的强烈的速度剪切和流动分离。激波粒子云相互作用产生反射激波,其强度随粒子雷诺数的减小而增大。这导致进入粒子云的流场发生重要变化。结果表明,平均流速和流量波动幅度之间近似成正比。最大粒子阻力与以前的无粘研究非常一致,我们补充这些结果与统计的时间平均粒子力以及时间振荡的变化。研究结果为进一步发展改进的简化分散流模型提供了基础。

英文摘要:

This study investigates the Reynolds-number dependence of shock-induced flow through particle layers at 10\% volume fraction, using ensemble-averaged results from particle-resolved large eddy simulations. The advantage of using large eddy simulations to study this problem is that they capture the strong velocity shears and flow separation caused by the no-slip condition at the particle surfaces. The shock particle cloud interaction produces a reflected shock wave, whose strength increases with decreasing particle Reynolds number. This results in important changes to the flow field that enters the particle cloud. The results show an approximate proportionality between the mean flow velocity and the flow fluctuation magnitudes. Maximum particle drag forces are in excellent agreement with previous inviscid studies, and we complement these results with statistics of time-averaged particle forces as well as the variation of temporal oscillations. The results of this work provides a basis for development of improved simplified dispersed flow models.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑